How to integrate Maintainx MCP with Pydantic AI

This guide walks you through connecting Maintainx to Pydantic AI using the Composio tool router. By the end, you'll have a working Maintainx agent that can create a new urgent work order for hvac, list all open work orders at warehouse, add comment to work order 12345 through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Maintainx account through Composio's Maintainx MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.

30 Tools

Introduction

This guide walks you through connecting Maintainx to Pydantic AI using the Composio tool router. By the end, you'll have a working Maintainx agent that can create a new urgent work order for hvac, list all open work orders at warehouse, add comment to work order 12345 through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Maintainx account through Composio's Maintainx MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Maintainx with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Maintainx
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Maintainx workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Maintainx MCP server, and what's possible with it?

The Maintainx MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Maintainx account. It provides structured and secure access to your maintenance operations, so your agent can create work orders, update existing tasks, manage assets, and keep your teams aligned—automatically and on your behalf.

  • Work order creation and management: Instantly have your agent create new work orders, add detailed descriptions, set priorities, and assign them to the right teams or users.
  • Automated work order updates and comments: Let your agent update existing work orders or add comments for documentation and real-time communication between team members.
  • Asset and location tracking: Effortlessly list and retrieve all assets and locations across your organization, helping you keep maintenance data organized and accessible.
  • Category and team organization: Enable your agent to fetch and manage categories or teams, ensuring work orders and assets are classified and assigned correctly.
  • Smart work request portals: Have your agent generate custom work request portals so stakeholders can submit maintenance requests easily and securely.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Maintainx
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Maintainx
  • MCPServerStreamableHTTP connects to the Maintainx MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Maintainx
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["maintainx"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Maintainx tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
maintainx_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[maintainx_mcp],
    instructions=(
        "You are a Maintainx assistant. Use Maintainx tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Maintainx endpoint
  • The agent uses GPT-5 to interpret user commands and perform Maintainx operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Maintainx.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Maintainx API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Maintainx and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Maintainx
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["maintainx"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    maintainx_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[maintainx_mcp],
        instructions=(
            "You are a Maintainx assistant. Use Maintainx tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Maintainx.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Maintainx through Composio's Tool Router. With this setup, your agent can perform real Maintainx actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Maintainx for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Maintainx action and event your agent gets out of the box.

Create Category

Tool to create a new category in MaintainX for organizing work orders, assets, and other items.

Create Location

Tool to create a new location in MaintainX.

Create Procedure Template

Tool to create a new procedure template in MaintainX with checklist items for work orders.

Create Work Order

This tool creates a new work order in MaintainX.

Create Work Order Comment

This tool creates a new comment on an existing work order in MaintainX.

Create Work Request

Tool to create a new work request in MaintainX.

Create Work Request Portal

Creates a new work request portal in MaintainX.

Delete Assets

Tool to delete an asset from MaintainX by its ID.

Delete Category

Tool to delete a category in MaintainX.

Find Entity

A tool to search and find specific entities within MaintainX by specified fields.

Get Category

Tool to retrieve detailed information about a specific category by its ID.

Get Location

Tool to retrieve detailed information about a specific location by its ID.

Get User

Tool to retrieve detailed information about a specific user by their ID.

Get Vendor

Tool to retrieve detailed information about a specific vendor by its ID.

Get Work Order Costs

Tool to retrieve costs information for a specific work order by its ID.

List Asset Criticalities

Tool to retrieve a list of asset criticalities from MaintainX.

List Assets

This tool allows users to retrieve a list of all assets in their organization.

List Categories

This tool retrieves a list of all categories in your MaintainX organization.

List Locations

This tool retrieves a list of all available locations in the organization's MaintainX account.

List Meters

Tool to list all meters in your organization.

List Parts

Tool to list parts/inventory items with pagination and filtering.

List Procedure Templates

Tool to list procedure templates from MaintainX.

List Teams

This tool retrieves a list of all teams in your MaintainX organization.

List Work Orders

Action to list work orders from MaintainX.

List Work Request Portals

Tool to list all work request portals in your MaintainX organization.

List Work Requests

Tool to retrieve a list of work requests from MaintainX.

Update Vendor Attachment

Tool to update a vendor attachment in MaintainX.

Update Work Order

This tool allows users to update an existing work order in MaintainX by modifying specific attributes without affecting other unchanged fields.

Update Work Order Status

This tool allows users to update the status of a specific work order in MaintainX.

Update Work Request Portal

Updates an existing work request portal in MaintainX.

FRAMEWORKS

How to build Maintainx MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Maintainx MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Maintainx MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Maintainx MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Maintainx MCP with Claude Cowork

Codex logo

Codex

Use Maintainx MCP with Codex

OpenClaw logo

OpenClaw

Use Maintainx MCP with OpenClaw

Hermes logo

Hermes

Use Maintainx MCP with Hermes

CLI logo

CLI

Use Maintainx MCP with CLI

Google ADK logo

Google ADK

Use Maintainx MCP with Google ADK

LangChain logo

LangChain

Use Maintainx MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Maintainx MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Maintainx MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Maintainx MCP with LlamaIndex

CrewAI logo

CrewAI

Use Maintainx MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Maintainx MCP server, the agents and LLMs can only access a fixed set of Maintainx tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Maintainx and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Maintainx tools.

Yes, absolutely. You can configure which Maintainx scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Maintainx data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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